Work

Automatic classification of near‐fault pulse‐like ground motions

Year: 2024

Type: article

Abstract: This study presents an automated, quantitative classification method for near-fault pulse-like ground motions, distinguishing between forward-directivity and fling-step (FS) motions. The method introduces two novel parameters—the pulse velocity ratio and pulse area ratio—which transform the classification standard from a qualitative to a quantitative framework. Combined with an enhanced pulse extraction technique that captures permanent displacement characteristics, these parameters significantly improve classification efficiency and repeatability. This automated approach overcomes the limitations of manual classification, providing reproducible results. The identified FS ground motions can be applied to the dynamic analysis of cross-fault structures, enhancing the reliability of seismic hazard assessments.

Source: Computer-Aided Civil and Infrastructure Engineering

DOI: 10.1111/mice.13408

Authors: Hongwu Yang, Yingmin Li, Weihao Pan, Lei Hu, Shuyan Ji

Institution: Chongqing University

Language: English

Topic: Seismic Performance and Analysis

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $4,980

Funder: National Natural Science Foundation of China